Task Effects on Linguistic Complexity and Accuracy: A Large‐Scale Learner Corpus Analysis Employing Natural Language Processing Techniques

Theodora Alexopoulou · Marije C Michel · Akira Murakami · Detmar Meurers

177 citations0/0 files storedLanguage Learning

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Second Language Acquisition and Learning EFL/ESL Teaching and Learning Linguistics and Language Analysis

Abstract

Large‐scale learner corpora collected from online language learning platforms, such as the EF‐Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze learner data at an unprecedented scale. However, interpreting the learner language in such corpora requires a precise understanding of tasks: How does the prompt and input of a task and its functional requirements influence task‐based linguistic performance? This question is vital for making large‐scale task‐based corpora fruitful for second language acquisition research. We explore the issue through an analysis of selected tasks in EFCAMDAT and the complexity and accuracy of the language they elicit.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 177 citations exist upstream.

References

1991Fundamental Considerations in Language Testing 2003Task-based Language Learning and Teaching 1999A Cognitive Approach to Language Learning 2004TASK-BASED LANGUAGE LEARNING AND TEACHING 2009Register, Genre, and Style 2009Towards an Organic Approach to Investigating CAF in Instructed SLA: The Case of Complexity 1996The Influence of Planning and Task Type on Second Language Performance 2010Automatic analysis of syntactic complexity in second language writing

Cited by

2019Syntactic complexity development in the writings of EFL learners: Insights from a dependency syntactically-annotated corpus 2019Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use 2020Continuing to Explore the Multidimensional Nature of Lexical Sophistication: The Case of Oral Proficiency Interviews 2018Investigating Syntactic Complexity in EFL Learners' Writing across Common European Framework of Reference Levels A1, A2, and B1 2022A large-scale longitudinal study of syntactic complexity development in EFL writing: A mixed-effects model approach

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.